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An Introduction to Transfer Entropy Information Flow in Complex Systems /

This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present informa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bossomaier, Terry (Autor), Barnett, Lionel (Autor), Harré, Michael (Autor), Lizier, Joseph T. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Bossomaier, Terry.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 3 |a An Introduction to Transfer Entropy  |h [electronic resource] :  |b Information Flow in Complex Systems /  |c by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XXIX, 190 p. 24 illus., 21 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks. 
520 |a This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a System theory. 
650 0 |a Neurosciences. 
650 0 |a Computer science. 
650 0 |a Mathematical physics. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Complex Systems. 
650 2 4 |a Neuroscience. 
650 2 4 |a Theory of Computation. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
700 1 |a Barnett, Lionel.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Harré, Michael.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Lizier, Joseph T.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319432212 
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950 |a Computer Science (R0) (SpringerNature-43710)